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C A L L F O R P A P E R S
Finding Patterns of Human Behaviors in NEtwork and MObility Data - NEMO
a half-day workshop at ECMLPKDD 2011, Athens, Greece
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**Call for Papers**
In the past decade, network theory has revolutionized our
understanding of systems of interacting objects, impacting a wide
array of disciplines. In the area of complex systems we are witnessing
yet another seismic shift. Indeed, thanks to the increasing
availability of large-scale data in many diverse settings, researchers
now have access to patterns of human behavior at an unprecedented
level of details. These large-scale datasets, offering objective
description on human activity patterns, are expected to revolutionize
our understanding of human behavior.
Researchers have attempted to study, measure, model and predict human
behaviors from many different perspectives. For example, much effort
has been devoted to understanding how people connect, interact, and
exchange information with others. At the same time, there has been
wide and multidisciplinary research on understanding human mobility
patterns: where do people go? How fast do they move? How regular are
their movements? These advances in social networks and human mobility
have also turned the interplay between these two aspects into an
emergent focus in our understanding of human behavior.
The aim of the workshop is to bring together pioneering researchers in
the fields of data mining and machine learning who are focusing on
above topics, and thus intensify the exchange of ideas among different
research communities to foster devising tools and models for creation,
analysis, and visualization of network and mobility data.
Therefore, contributions to the workshop should focus on, but are not
limited to:
- (conceptual) modeling and creation of complex networks from mobility data
- (adaptive) visualization of complex networks and/or mobility patterns
- Data mining query languages for complex networks and mobility data
- Data structures and data bases for trajectory data
- User mobility behavior modeling
- Constraint-based pattern mining in complex networks and mobility data
- Privacy preserving mining of mobility data
- Mobility-driven semantics in complex networks
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**Key Dates**
Paper Submission: June 7th, 2011
Notification of Acceptance: July 1st, 2011
Camera Ready Papers: July 21st, 2011
Early Registration: to be announced
Workshop: September 9th, 2011
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**Special Issue**
Selected papers will be invited to submit extended versions to a
special issue of the Knowledge and Information Systems Journal (KAIS).
More details will be announced after the workshop.
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**Paper Submission**
Authors are invited to submit manuscripts dealing with the topic of
the workshop. We welcome papers that present new results, ongoing
projects or completed work (even previously published). The
instructions for authors and the LaTeX packages can be found at
http://www.springer.de/comp/lncs/authors.html. There is no limitation
on paper length although we recommend the usual page limits of around
12 pages.
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**Organization**
General Chairs
- Albert-László Barabási - CCNR, Northeastern University, USA
- Michele Berlingerio - KDD Lab, ISTI-CNR Pisa, Italy
- Dino Pedreschi - KDD Lab, Dept. of Computer Science, University of
Pisa, Italy
- Dashun Wang - CCNR, Northeastern University, USA
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**Sponsor and Award Chair**
- Mirco Nanni - KDD Lab, ISTI-CNR Pisa, Italy
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**Program Committee**
Leman Akoglu - Carnegie Mellon University
James P. Bagrow - CCNR, Northeastern University
Bjřrn Bringmann - Deloitte & Touch GmbH, Munich, Germany
Tanya Berger-Wolf - University of Illinois at Chicago
Vincent D. Blondel - Université catholique de Louvain
Nick Blumm - CCNR, Northeastern University
Ilaria Bordino - Yahoo! Research
Dirk Brockmanm - Northwestern University
Michele Coscia - University of Pisa
Marta C. Gonzalez - CEE, Massachusetts Institute of Technology
César A. Hidalgo - Media Lab, Massachusetts Institute of Technology
U Kang - Carnegie Mellon University
David Lazer - Northeastern University & Harvard University
Sune Lehmann, Technical University of Denmark
Ching-Yung Lin - IBM TJ Watson Research Center
Yu-Ru Lin - IQSS, Harvard University
Andreas Nürnberger - Otto-von-Guericke-Universität Magdeburg
Tina Eliassi-Rad - Rutgers University
Fabio Pinelli - KDDLab ISTI-CNR Pisa
Salvatore Rinzivillo - KDDLab ISTI-CNR Pisa
Xiaolin Shi - Stanford University
Chaoming Song - CCNR, Northeastern University
Pedro Olmo Stancioli Vaz de Melo - Federal University of Minas Gerais
Shirish Tatikonda - IBM Almaden
Hanghang Tong - IBM TJ Watson Research Center
Roberto Trasarti - KDDLab ISTI-CNR Pisa
Alessandro Vespignani - School of Informatics and Computing,
Indiana University
Pu Wang - Massachusetts Institute of Technology
Jiang Yang - University of Michigan
Philip Yu - University of Illinois at Chicago
Wen Zhen - IBM TJ Watson Research Center
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**Contacts**
For inquiries, please contact:
[log in to unmask]
[log in to unmask]
________________________________
David Lazer (www.davidlazer.com)
Associate Professor of Political Science and Computer Science
Northeastern University &
Director, Program on Networked Governance
Harvard Kennedy School
Harvard University
The netgov blog: http://www.iq.harvard.edu/blog/netgov/
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